References in zbMATH (referenced in 77 articles , 2 standard articles )

Showing results 1 to 20 of 77.
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  1. Niu, Yabo; Pati, Debdeep; Mallick, Bani K.: Bayesian graph selection consistency under model misspecification (2021)
  2. Córdoba, Irene; Bielza, Concha; Larrañaga, Pedro: A review of Gaussian Markov models for conditional independence (2020)
  3. Guha, Nilabja; Baladandayuthapani, Veera; Mallick, Bani K.: Quantile graphical models: a Bayesian approach (2020)
  4. Li, Zehang Richard; McComick, Tyler H.; Clark, Samuel J.: Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies (2020)
  5. Paci, Lucia; Consonni, Guido: Structural learning of contemporaneous dependencies in graphical VAR models (2020)
  6. Shah, Rajen D.; Peters, Jonas: The hardness of conditional independence testing and the generalised covariance measure (2020)
  7. West, Mike: Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions (2020)
  8. Xia, Yin; Cai, T. Tony; Sun, Wenguang: GAP: a general framework for information pooling in two-sample sparse inference (2020)
  9. Bianchi, Daniele; Billio, Monica; Casarin, Roberto; Guidolin, Massimo: Modeling systemic risk with Markov switching graphical SUR models (2019)
  10. Billio, Monica; Casarin, Roberto; Rossini, Luca: Bayesian nonparametric sparse VAR models (2019)
  11. Blekherman, Grigoriy; Sinn, Rainer: Maximum likelihood threshold and generic completion rank of graphs (2019)
  12. Cremaschi, Andrea; Argiento, Raffaele; Shoemaker, Katherine; Peterson, Christine; Vannucci, Marina: Hierarchical normalized completely random measures for robust graphical modeling (2019)
  13. Dobra, Adrian; Valdes, Camilo; Ajdic, Dragana; Clarke, Bertrand; Clarke, Jennifer: Modeling association in microbial communities with clique loglinear models (2019)
  14. Kundu, Suprateek; Mallick, Bani K.; Baladandayuthapani, Veera: Efficient Bayesian regularization for graphical model selection (2019)
  15. McDavid, Andrew; Gottardo, Raphael; Simon, Noah; Drton, Mathias: Graphical models for zero-inflated single cell gene expression (2019)
  16. Olsson, Jimmy; Pavlenko, Tatjana; Rios, Felix L.: Bayesian learning of weakly structural Markov graph laws using sequential Monte Carlo methods (2019)
  17. Dobra, Adrian; Mohammadi, Reza: Loglinear model selection and human mobility (2018)
  18. Jacobovic, Royi: On the relation between the true and sample correlations under Bayesian modelling of gene expression datasets (2018)
  19. Li, Peili; Xiao, Yunhai: An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation (2018)
  20. Uhler, Caroline; Lenkoski, Alex; Richards, Donald: Exact formulas for the normalizing constants of Wishart distributions for graphical models (2018)

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